The success of a piece of behaviour is often explained by its being caused by a true representation (similarly, failure falsity). In some simple organisms, success is just survival and reproduction. Scientists explain why a piece of behaviour helped the organism to survive and reproduce by adverting to the behaviour’s having been caused by a true representation. That usage should, if possible, be vindicated by an adequate naturalistic theory of content. Teleosemantics cannot do so, when it is applied to simple (...) representing systems (Godfrey-Smith 1996). Here it is argued that the teleosemantic approach to content should therefore be modified, not abandoned, at least for simple representing systems. The new ‘infotel-semantics’ adds an input condition to the output condition offered by teleosemantics, recognising that it is constitutive of content in a simple representing system that the tokening of a representation should correlate probabilistically with the obtaining of its specific evolutionary success condition. (shrink)

A medical information commons is a networked data environment utilized for research and clinical applications. At three deliberations across the U.S., we engaged 75 adults in two-day facilitated discussions on the ethical and social issues inherent to sharing data with an MIC. Deliberants made recommendations regarding opt-in consent, transparent data policies, public representation on MIC governing boards, and strict data security and privacy protection. Community engagement is critical to earning the public's trust.

The semantic concept of information is one of the most important, and one of the most problematical concepts in biology. I suggest a broad definition of biological information: a source becomes an informational input when an interpreting receiver can react to the form of the source (and variations in this form) in a functional manner. The definition accommodates information stemming from environmental cues as well as from evolved signals, and calls for a comparison between information‐transmission (...) in different types of inheritance systems—the genetic, the epigenetic, the behavioral, and the cultural‐symbolic. This comparative perspective highlights the different ways in which information is acquired and transmitted, and the role that such information plays in heredity and evolution. Focusing on the special properties of the transfer of information, which are very different from those associated with the transfer of materials or energy, also helps to uncover interesting evolutionary effects and suggests better explanations for some aspects of the evolution of communication. (shrink)

A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different types of statistical information affect listeners’ memory for auditory stimuli. We used a combination of behavioral and computational methods to investigate memory for non-linguistic auditory sequences. Participants (...) repeatedly heard tone sequences varying systematically in their information-theoretic properties. Expectedness ratings of tones were collected during three listening sessions, and a recognition memory test was given after each session. Information-theoretic measures of sequential predictability significantly influenced listeners’ expectedness ratings, and variations in these properties had a significant impact on memory performance. Predictable sequences yielded increasingly better memory performance with increasing exposure. Computational simulations using a probabilistic model of auditory expectation suggest that listeners dynamically formed a new, and increasingly accurate, implicit cognitive model of the information-theoretic structure of the sequences throughout the experimental session. (shrink)

Ignorance, or the lack of knowledge, appears to be steadily spreading, despite the increasing availability of information. The notion of informed ignorance herein proposed to describe the widespread position of being exposed to an abundance of information yet lacking relevant knowledge, which is tied to the exponential growth in misinformation driven by technological developments and social media. Linked to many of societies’ most looming catastrophes, from political polarization to the climate crisis, practices related to knowledge and information (...) are deemed some of the most imminent and daunting modern threats, evidenced by the latest report of the World Economic Forum, which has named misinformation the most severe short-term global risk. This paper’s epistemic perspective links the properties of today’s information culture and the ways in which it interacts with individual capacities and limitations in current technological and socio-political contexts. Such a position is analyzed through the lens of epistemic principles as a contemporary epistemic phenotype that emerges from an environment of ill-adapted and excessive information inputs and leads to a distinctive type of social injustice that is primarily epistemic in nature. While equity and accessibility are widely discussed as important contributing factors to epistemic discrepancies, other overlooked but fundamental issues underlying epistemic injustices are considered, such as information manipulation, cognitive limitations, and epistemic degradation. To effectively face this elusive threat, we propose an inclusive viewpoint that harnesses knowledge from cognitive science, science and technology studies, and social epistemology to inform a unifying theory of its main impacts and driving forces. By adjusting a modern epistemic framework to the described phenomena, we intend to contextually outline its trajectory and possible means of containment based on a shared responsibility to maintain ethical epistemic standards. In a time of international unrest and mounting civil acts of violence, it is pertinent to emphasize the ethical principles of knowledge systems and authorities and suggest policy adaptations to maintain a social contract based on the shared values of truth and freedom. (shrink)

The established definition of replication in terms of the conditions of causality, similarity and information transfer is very broad. We draw inspiration from the literature on self-reproducing automata to strengthen the notion of information transfer in replication processes. To the triple conditions of causality, similarity and information transfer, we add a fourth condition that defines a “generative replicator” as a conditional generative mechanism, which can turn input signals from an environment into developmental instructions. Generative replication must (...) have the potential to enhance complexity, which in turn requires that developmental instructions are part of the information that is transmitted in replication. Demonstrating the usefulness of the generative replicator concept in the social domain, we identify social generative replicators that satisfy all of the four proposed conditions. (shrink)

Since the introduction of the computer in the early 1950's, the investigation of artificial intelligence has followed three chief avenues: the discovery of self-organizing systems; the building of working models of human behavior, incorporating specific psychological theories; and the building of "heuristic" machines, without bias in favor of humanoid characteristics. While this work has used philosophical logic and its results may illustrate philosophical problems, the artificial intelligence program is by now an intricate, organized specialty. This book, therefore, has a quite (...) specialized audience of its own although it can be very valuable to those philosophers who are interested and competent in using this pioneering material. Five scientific papers report attempts to solve five different kinds of problems. Bertram Raphael describes an attempt to build a memory structure that converts the information input into a systematic model by "understanding" the informational statements as they are made. Daniel Bobrow's machine can set up algebraic equations from informal verbal statements. M. Ross Quillan asks: "What sort of representational format can permit the 'meanings' of words to be stored?" Thomas Evans' machine, Analogy, serves as a model for "pattern-recognition" rather than the "common-property" method of semantic memory. Fischer Black has developed a logical deduction mechanism for question-answering which keeps track of where we are and avoids endless deduction. The editor and John McCarthy contribute more general chapters, providing the historical background of cybernetics, and dealing with the problem of formalizing a concept of causality. Minsky ends the volume with his view that our convictions on dualism, consciousness, free will, and the like are used in the attempt to explain the complicated interactions between parts of our model of ourselves.--M. B. M. (shrink)

There is a tendency in decision‐making research to treat uncertainty only as a problem to be overcome. But it is also a feature that can be leveraged, particularly in social interaction. Comparing the behavior of profitable and unprofitable poker players, we reveal a strategic use of information processing that keeps decision makers unpredictable. To win at poker, a player must exploit public signals from others. But using public inputs makes it easier for an observer to reconstruct that player's strategy (...) and predict his or her behavior. How should players trade off between exploiting profitable opportunities and remaining unexploitable themselves? Using a recent multivariate approach to information theoretic data analysis and 1.75 million hands of online two‐player No‐Limit Texas Hold'em, we find that the important difference between winning and losing players is not in the amount of information they process, but how they process it. In particular, winning players are better at integrative information processing—creating new information from the interaction between their cards and their opponents’ signals. We argue that integrative information processing does not just produce better decisions, it makes decision‐making harder for others to reverse engineer, as an expert poker player's cards act like the private key in public‐key cryptography. Poker players encrypt their reasoning with the way they process information. The encryption function of integrative information processing makes it possible for players to exploit others while remaining unexploitable. By recognizing the act of information processing as a strategic behavior in its own right, we offer a detailed account of how experts use endemic uncertainty to conceal their intentions in high‐stakes competitive environments, and we highlight new opportunities between cognitive science, information theory, and game theory. (shrink)

The descriptions of the development of events in nature from the moment of the Big Bang are using concepts of ‘energy’ and ‘matter’. Systemically, these descriptions lack the third component of every system – information. This brings up the question of where in these descriptions information is and does it possibly precede energy. The analysis used the general systems theory, one of the powerful methods in modern science. For the description of the general technology , from the Big (...) Bang to the final point , we used our own concept based on two thoughts: the technology is nothing special but quite general and the fractal concept of Nature . It was found that the descriptions lack the answers to the question of the origin of information system whose activity began with the Big Bang. That information input is divided into command and data. With the help of philosophical knowledge, including Plato, Aristotle and Thomas Aquinas, it was concluded that someone had to make the natural laws that are transmitted in the form of information into energy during the Big Bang before inflation and the creation of matter. The question of who ordered the construction of the laws of nature and started the Big Bang is especially important. This article does not state explicitly who gave the order for the making and who made the transmitted information. (shrink)

In his essay "Consumers Need Information: Supplementing Teleosemantics with an Input Condition" (this issue) Nicholas Shea argues, with support from the work of Peter Godfrey-Smith (1996), that teleosemantics, as David Papinau and I have articulated it, cannot explain why "content attribution can be used to explain successful behavior." This failure is said to result from defining the intentional contents of representations by reference merely to historically normal conditions for success of their "outputs," that is, of their uses by (...) interpreting or consuming mechanisms, bypassing the more traditional focus, of those who would naturalize intentional content, on causal or informational inputs. Shea proposes to "add an input condition to teleosemantics," requiring that simple representations must carry "correlational information." I am grateful to Shea for his paper, as it presents me with an opportunity to clarify two fairly central features of my position on intentional content, one of which seems to have been overlooked in the literature (Millikan 1993a), the other of which I have stated previously only in a confusing way (Millikan 2004, Chapters 3-4). The first clarification concerns the general form that I take explanation by reference to intentional states to have. The second concerns my description of "locally recurrent natural information," why this kind of information is needed in place of Shea's "correlational information" to explain what feeds simple representational systems, and why no reference to natural information is needed to account for the success of behaviors by reference to the truth of representations that motivate them. (shrink)

In this chapter, it is suggested that our epistemic access to metaphysical modality generally involves rationalist, a priori elements. However, these a priori elements are much more subtle than ‘traditional’ modal rationalism assumes. In fact, some might even question the ‘apriority’ of these elements, but I should stress that I consider a priori and a posteriori elements especially in our modal inquiry to be so deeply intertwined that it is not easy to tell them apart. Supposed metaphysically necessary identity statements (...) involving natural kind terms are a good example: the fact that empirical input is crucial in establishing their necessity has clouded the role and content of the a priori input, as I have previously argued. For instance, the supposed metaphysically necessary identity statement involving water and its microstructure can only be established with the help of a controversial a priori principle concerning the determination of chemical properties by microstructure. The Kripke-Putnam framework of modal epistemology fails precisely because it is unclear whether the required a priori element is present. My positive proposal builds on E. J. Lowe’s work. Lowe holds that our knowledge of metaphysical modality is based on our knowledge of essence. Lowe’s account strives to offer a uniform picture of modal epistemology: essence is the basis of all our modal knowledge. This is the basis of Lowe’s modal rationalism. I believe that Lowe’s proposal is on the right lines in the case of abstract objects, but I doubt that it can be successfully applied to the case of natural kinds. Accordingly, the case of natural kinds will be my main focus and I will suggest that modal rationalism, at least as it is traditionally understood, falls short of explaining modal knowledge concerning natural kinds. Yet, I think that Lowe has identified something of crucial importance for modal epistemology, namely the essentialist, a priori elements present in our modal inquiry. The upshot is that rather than moving all the way from modal rationalism to modal empiricism, a type of hybrid approach, ‘empirically-informed modal rationalism ’, can be developed. (shrink)

The idea of representation is central to many theories for embodied skillful action. Representation-centric cognition has been questioned in light of the prominence of E-cognition in the past two decades, including ecological psychology, sensorimotor theory, dynamical systems, and 4E cognition. The paper expands on the critique by offering alternate explanations for the information processing model of skill learning and embodied action. Mental representation plays a fundamental role in information processing explanations of embodied skillful action. The skilled activity is (...) considered discretely in information-theoretic approaches, consisting of a linear model of information input-process-output. According to the paper, the beginning, emergence, acquisition, performance, and mastery of an embodied skilled activity are all part of a human experience continuum. Using vehicle driving as an example, the paper examines diverse viewpoints on embodied skillful action. (shrink)

Investigations of the function of consciousness in human information processing have focused mainly on two questions: (1) where does consciousness enter into the information processing sequence and (2) how does conscious processing differ from preconscious and unconscious processing. Input analysis is thought to be initially "preconscious," "pre-attentive," fast, involuntary, and automatic. This is followed by "conscious," "focal-attentive" analysis which is relatively slow, voluntary, and flexible. It is thought that simple, familiar stimuli can be identified preconsciously, but conscious (...) processing is needed to identify complex, novel stimuli. Conscious processing has also been thought to be necessary for choice, learning and memory, and the organization of complex, novel responses, particularly those requiring planning, reflection, or creativity. (shrink)

It is common in cognitive science to equate computation (and in particular digital computation) with information processing. Yet, it is hard to find a comprehensive explicit account of concrete digital computation in information processing terms. An information processing account seems like a natural candidate to explain digital computation. But when ‘information’ comes under scrutiny, this account becomes a less obvious candidate. Four interpretations of information are examined here as the basis for an information processing (...) account of digital computation, namely Shannon information, algorithmic information, factual information and instructional information. I argue that any plausible account of concrete computation has to be capable of explaining at least the three key algorithmic notions of input, output and procedures. Whist algorithmic information fares better than Shannon information, the most plausible candidate for an information processing account is instructional information. (shrink)

In numerous peripheral sense organs, external stimuli are detected by primary sensory neurons compartmentalized within specialized structures composed of cuticular or epithelial tissue. Beyond reflecting developmental constraints, such compartmentalization also provides opportunities for grouped neurons to functionally interact. Here, the authors review and illustrate the prevalence of these structural units, describe characteristics of compartmentalized neurons, and consider possible interactions between these cells. This article discusses instances of neuronal crosstalk, examples of which are observed in the vertebrate tastebuds and multiple types (...) of arthropod chemosensory hairs. Particular attention is paid to insect olfaction, which presents especially well‐characterized mechanisms of functional, cross‐neuronal interactions. These examples highlight the potential impact of peripheral processing, which likely contributes more to signal integration than previously considered. In surveying a wide variety of structural units, it is hoped that this article will stimulate future research that determines whether grouped neurons in other sensory systems can also communicate to impact information processing. (shrink)

Motivation: Classical definitions of information, such as the Shannon information, are designed for open loop systems because they define information on a channel which has an input and an output. The main motivation of this paper is to present a closed loop information measure which is compatible with constructivist thinking. Design: Our information measure for a closed loop system reflects how additional sensor inputs are utilised to establish additional sensor-motor loops during learning. Our (...) class='Hi'>information measure is based on the assumption that it is not optimal to stay reactive and that it is beneficial to become proactive through increased learning about the environment. Consequently our information measure gauges the utilisation of new sensor inputs to generate anticipatory actions. We call this information measure "predictive information" (PI). Findings: Our PI is zero if the organism uses only its reflex reactions. It grows when the organism is able to use other sensor inputs to preempt reflex reactions and is able to replace reflexes by anticipatory reactions. This has been demonstrated with a real robot that had to learn to avoid obstacles. Conclusion: PI is a new measure which is able to quantify anticipatory learning and, in contrast to the Shannon information, is calculated only at the inputs of an agent. This information measure has been successfully applied to a simple robot task but its application is neither limited to a certain task nor to a certain learning rule. (shrink)

Despite recent major advances in the neuroscience underlying cognition, the processes of its emergence and evolution are far from being understood. In our view, current interrelated concepts of mind; knowledge; epistemology; perception; cognition and information fail to reflect the real dynamics of mental processes, their ontology and their logic. It has become routine to talk about information in relation to these processes, but there is no consensus about its most relevant qualitative and functional properties. We present a theory (...) of human cognition based on an ontology and epistemology of information and information processes originally proposed by Wu including an ontological doctrine of the different grades of information; and an informational epistemology based on a noegenesis of the doctrine of informational intermediaries that mediate between the cognitive subject and object. This theory is supported by the new, non-propositional logic proposed recently by Brenner. We demonstrate the utility of our approach for the reconceptualization of the virtual properties of reality and cognition. It is strongly anti-representationalist and can provide the basis for the integration of inputs from outside the brain into cognitive structures. For us, the philosophy of information is a metaphilosophy, implying major changes in both the content and methodology of standard philosophical disciplines. We suggest that this philosophy of information and our informational approach may help guide research in a number of current areas of cognitive science. (shrink)

Since its advent, predictive DNA testing has been perceived as a technology that may have considerable impact on the quality of people’s life. The decision whether or not to use this technology is up to the individual client. However, to enable well considered decision making both the negative as well as the positive freedom of the individual should be supported. In this paper, we argue that current professional and public discourse on predictive DNA-testing is lacking when it comes to supporting (...) positive freedom, because it is usually framed in terms of risk and risk management. We show how this ‘risk discourse’ steers thinking on the good life in a particular way. We go on to argue that empirical research into the actual deliberation and decision making processes of individuals and families may be used to enrich the environment of personal deliberation in three ways: (1) it points at a richer set of values that deliberators can take into account, (2) it acknowledges the shared nature of genes, and (3) it shows how one might frame decisions in a non-binary way. We argue that the public sharing and discussing of stories about personal deliberations offers valuable input for others who face similar choices: it fosters their positive freedom to shape their view of the good life in relation to DNA-diagnostics. We conclude by offering some suggestions as to how to realize such public sharing of personal stories. (shrink)

In an era marked by rapid information flows, search engine use often precedes online exploration. Search engines like Google function through reliance on over 200 signals that fine tune consumer behavior and provide ordered results. This process "adds a little something extra" to the idea of results ordered by pure conceptual relationships between keywords and phrases, and may stifle critical reflection. The search interface we test, ThoughtShuffler, designed using principles of Gordon Pask's cybernetics, reorders Google's results based on the (...) degree to which they contain varied co-occurring keywords both inputted by the user, and suggested by the tool; giving preference to sources that may pique the curiosity of the user to explore other sources and critically analyze them. We conducted an experimental mixed methods study to analyze argumentative essays written by 39 adult participants using ThoughtShuffler and Google, about universal and privatized healthcare models. We used the Linguistic Inquiry and Word Count (LIWC) tool to calculate word frequencies for emotional tone, and moralization/argumentation in the essays. We analyze these dimensions owing to the strong ties between morality, emotion, and critical thinking. Through t-tests of LIWC scores, and narrative inquiry of essays with high anger and moralization frequencies, we firstly found essays using ThoughtShuffler were marked by lower levels of anger-related words and less frustration related to the limitations of universal and privatized healthcare. Secondly, we found that the essays written using ThoughtShuffler contained more morality-related words, and featured more humanistic moral rationale about why a certain model of healthcare would be more viable. We suggest that tools like ThoughtShuffler, through their capacity to spur user's critical thinking and concept development, may contribute towards creating an informationally healthy society. (shrink)

Infant and adult learners are able to identify word boundaries in fluent speech using statistical information. Similarly, learners are able to use statistical information to identify word–object associations. Successful language learning requires both feats. In this series of experiments, we presented adults and infants with audio–visual input from which it was possible to identify both word boundaries and word–object relations. Adult learners were able to identify both kinds of statistical relations from the same input. Moreover, their (...) learning was actually facilitated by the presence of two simultaneously present relations. Eight-month-old infants, however, do not appear to benefit from the presence of regular relations between words and objects. Adults, like 8-month-olds, did not benefit from regular audio–visual correspondences when they were tested with tones, rather than linguistic input. These differences in learning outcomes across age and input suggest that both developmental and stimulus-based constraints affect statistical learning. (shrink)

Neither the range of potential results from genomic research that might be returned to participants nor future uses of stored data and biospecimens can be fully predicted at the outset of a study. Informed consent procedures require clear explanations about how and by whom decisions are made and what principles and criteria apply. To ensure trustworthy research governance, there is also a need for empirical studies incorporating public input to evaluate and strengthen these processes.

In this paper we take a fresh look at the information retrieval problem of balancing recall with precision in electronic document extraction. We examine the IR constructs of uncertainty, context and relevance, proposing a new process model for context learning, and introducing a new IT artifact designed to support user driven learning by leveraging explicit knowledge to discover implicit knowledge within a corpus of documents. The IT artifact is a prototype designed to present a small set of extracted documents (...) from a targeted corpus based upon user inputted criteria. The prototype provides the user with the opportunity to balance exploration and exploitation, via iterative relevance feedback to address the problem of imprecision resulting from uncertainty. We model the problem as an exploration–exploitation dilemma and apply it to a specific case of IR called eDiscovery. We conduct a series of behavioral experiments to evaluate the model and the artifact. Our initial findings indicate that the proposed model and the artifact improve performance in the IR result. (shrink)

This paper conducts an evaluative study on the rehabilitation of limb motor function by using a microsensor information flow gain algorithm and investigates the surface electromyography signals of the upper limb during rehabilitation training. The surface EMG signals contain a large amount of limb movement information. By analysing and processing the surface EMG signals, we can grasp the human muscle movement state and identify the human upper limb movement intention. The EMG signals were processed by the trap and (...) filter combination denoising method and wavelet denoising method, respectively, the signal-to-noise ratio was used to evaluate the noise reduction effect, and finally, the wavelet denoising method with a better noise reduction effect was selected to process all the EMG signals. After the noise is removed, the signal is extracted in the time domain and frequency domain, and the root mean square, absolute mean, median frequency in the time domain, and average power frequency in the frequency domain are selected and input to the classifier for pattern recognition. The support vector machine is used to classify the myoelectric signals and optimize the parameters in the support vector machine using the grid search method and particle swarm optimization algorithm and classify the test samples using the trained support vector machine. Compared with the classification results of the grid search optimized support vector machine, the optimized vector machine has a 7% higher recognition rate, reaching 85%. The action recognition classification method of myoelectric signals is combined with an upper limb rehabilitation training platform to verify the feasibility of using myoelectric signals for rehabilitation training. After the classifier recognizes the upper limb movements, the upper computer sends movement commands to the controller to make the rehabilitation platform move according to the recognition results, and finally, the movement execution accuracy of the rehabilitation platform reaches 80% on average. (shrink)

The Modern Synthesis has received criticism for its purported gene-centrism. That criticism relies on a concept of the gene as a unit of instructional information. In this paper I discuss information concepts and endorse one, developed from Floridi, that sees information as a functional relationship between data and context. I use this concept to inspect developmental criticisms of the Modern Synthesis and argue that the instructional gene arose as an idealization practice when evolutionary biologists made comment on (...) development. However, a closer inspection of key claims shows that at least some associated with the Modern Synthesis were in fact adopting the data led definition I favour and made clear arguments for the role of developmental processes beyond genetic input. There was no instructional gene. (shrink)

Parents influence the development of their offspring in many ways beyond the transmission of DNA. This includes transfer of epigenetic states, nutrients, antibodies and hormones, and behavioural interactions after birth. While the evolutionary consequences of such nongenetic inheritance are increasingly well understood, less is known about how inheritance mechanisms evolve. Here, we present a simple but versatile model to explore the adaptive evolution of non-genetic inheritance. Our model is based on a switch mechanism that produces alternative phenotypes in response to (...) different inputs, including genes and non-genetic factors transmitted from parents and the environment experienced during development. This framework shows how genetic and non-genetic inheritance mechanisms and environmental conditions can act as cues by carrying correlational information about future selective conditions. Differential use of these cues is manifested as different degrees of genetic, parental or environmental morph determination. We use this framework to evaluate the conditions favouring non-genetic inheritance, as opposed to genetic determination of phenotype or within-generation plasticity, by applying it to two putative examples of adaptive non-genetic inheritance: maternal effects on seed germination in plants and transgenerational phase shift in desert locusts. Our simulation models show how the adaptive value of non-genetic inheritance depends on its mechanism, the pace of environmental change, and life history characteristics. (shrink)

The role and evaluation of the modern corporation is being challenged by multiple stakeholders, changing markets and public expectations. Unfortunately, corporate governance, regulation and accounting have played a prominent role in business failure for the past decade resulting in a growing lack of public confidence in our markets. We present a new model that contributes to improving the quality of corporate information by providing not more, but better information through increased intelligibility of overall information, benefiting both the (...) firm and its broad array of stakeholders. It has become apparent that boards, management and regulators have been unable to cope with the rise of business failures by adding increasing layers of regulation that have often served only to exacerbate the complexity and further cloud the transparency of needed information. We have identified a growing number of forward‐thinking firms that have found alternative means to provide betterinformation and strengthen their companies. We offer a stakeholder‐centric model for improving information intelligibility based upon the extensive scope and variety of external input derived from the growing social movement organizations. With the added focus on intelligibility, these groups can help foster greater corporate responsibility, meaningful transparency, increased stakeholder benefits, and improved overall performance of the firm. (shrink)

Public participation is increasingly an aspect of policy development in many areas, and the governance of biomedical research is no exception. There are good reasons for this: biomedical research relies on public funding; it relies on biological samples and information from large numbers of patients and healthy individuals; and the outcomes of biomedical research are dramatically and irrevocably changing our society. There is thus arguably a democratic imperative for including public values in strategic decisions about the governance of biomedical (...) research. However, it is not immediately clear how this might best be achieved. While different approaches have been proposed and trialled, we focus here on the use of public deliberation as a mechanism to develop input for policy on biomedical research. We begin by explaining the rationale for conducting public deliberation in biomedical research. We focus, in particular, on the ELS (ethical, legal, social) aspects of human tissue biobanking. The last few years have seen the development of methods for conducting public deliberation on these issues in several jurisdictions, for the purpose of incorporating lay public voices in biobanking policy. We explain the theoretical foundation underlying the notion of deliberation, and outline the main lessons and capacities that have been developed in the area of conducting public deliberation on biobanks. We next provide an analysis of the theoretical and practical challenges that we feel still need to be addressed for the use of public deliberation to guide ethical norms and governance of biomedical research. We examine the issues of: (i) linking the outcomes of deliberation to tangible action; (ii) the mandate under which a deliberation is conducted; (iii) the relative weight that should be accorded to a public deliberative forum vs other relevant voices; (iv) evaluating the quality of deliberation; and (5) the problem of scalability of minipublics. (shrink)

Why are some words easier to learn than others? And what enables the eventual learning of the more difficult words? These questions were addressed for nouns using a paradigm in which adults were exposed to naturalistic maternal input that was manipulated to simulate access to several different information sources, both alone and in combination: observation of the extralinguistic contexts in which the target word was used, the words that co‐occurred with the target word, and the target word's syntactic (...) context. Words that were not accurately identified from observation alone were both abstract (e.g., music) and concrete (e.g., tail). Whether a noun could be learned from observation depended on whether it labeled a basic‐level object category (BLOC). However, the difference between BLOC labels and non‐BLOC labels was eliminated when observation was supplemented with linguistic context. Thus, although BLOC labels can be learned from observation alone, non‐BLOC labels require richer linguistic context. These findings support a model of vocabulary growth in which an important role is played by changes in the information to which learners have access. (shrink)

How much information from experience does a normal adult remember? The “functional information content” of human memory was estimated in several ways. The methods depend on measured rates of input and loss from very long‐ term memory and on analyses of the informational demands of human memory‐based performance. Estimates ranged around 109 bits. It is speculated that the flexible and creative retrieval of facts by humans is a function of a large ratio of “hardware” capacity to functional (...) storage requirements. (shrink)

It remains a standing problem how and why the first nervous systems evolved. Molecular and genomic information is now rapidly accumulating but the macroscopic organization and functioning of early nervous systems remains unclear. To explore potential evolutionary options, a coordination centered view is discussed that diverges from a standard input–output view on early nervous systems. The scenario involved, the skin brain thesis, stresses the need to coordinate muscle-based motility at a very early stage. This paper addresses how this (...) scenario with its focus on coordination also deals with sensory aspects. It will be argued that the neural structure required to coordinate extensive sheets of contractile tissue for motility provides the starting point for a new multicellular organized form of sensing. Moving a body by muscle contraction provides the basis for a multicellular organization that is sensitive to external surface structure at the scale of the animal body. Instead of thinking about early nervous systems as being connected to the environment merely through input and output, the implication developed here is that early nervous systems provide the foundation for a highly specific animal sensorimotor organization in which neural activity directly reflects bodily and environmental spatiotemporal structure. While the SBT diverges from the input–output view, it is closely linked to and supported by ongoing work on embodied approaches to intelligence to which it adds a new interpretation of animal embodiment and sensorimotor organization. (shrink)

The development of an information society and information technologies does not result in positive consequences only. Individuals with criminal intent also find their niche. Information security includes the creation of the input, processing and output processes of protection. The objective of information security is to protect the system of values, to protect and ensure accuracy and integrity and to minimize losses that may be incurred if the information is modified or destroyed. In the development (...) of an information society, the new visible changes in the legislation for the classification of crimes–crimes against computers–altered the concept of electronic crime data and information system security concepts. This article presents a brief analysis on the concept of the change of crimes against security of electronic data and information systems, the legislation analysis, the crimes against security of electronic data systems and information dynamics and its relationship with business factors. (shrink)

The article analyzes ontological possibilities of the meaning of information setting. For this, a modern approach of information technologies is considered in relation to setting the meaning of textual information. At the same time, the problem of setting the meaning of number and the meaning of word is formulated, which is discussed from the perspective of an ontological approach based on the solution of the problem of being, where the ontology of semantics is the result of such (...) a solution. As the ontology itself, a relational ontology is chosen, the initial position of which is the thesis: “to be” means “to be distinctive”. Based on this, information is defined as the result of ontological distinction, which allows mathematical formalization through the operation of subtraction, which expresses the essence of ontological distinction. This in turn allows to build constantly a numerical order of the meanings of any information, including textual, while the meaning of the information is its place in such a numerical range. Such a method, called Relational method, leads to an exact numerical specification of the meaning of any information, and by dignity of this numerical form, the meanings of any information can be easily input into a computer with subsequent processing and operation of these senses. (shrink)

Since its advent, predictive DNA testing has been perceived as a technology that may have considerable impact on the quality of people’s life. The decision whether or not to use this technology is up to the individual client. However, to enable well considered decision making both the negative as well as the positive freedom of the individual should be supported. In this paper, we argue that current professional and public discourse on predictive DNA-testing is lacking when it comes to supporting (...) positive freedom, because it is usually framed in terms of risk and risk management. We show how this ‘risk discourse’ steers thinking on the good life in a particular way. We go on to argue that empirical research into the actual deliberation and decision making processes of individuals and families may be used to enrich the environment of personal deliberation in three ways: (1) it points at a richer set of values that deliberators can take into account, (2) it acknowledges the shared nature of genes, and (3) it shows how one might frame decisions in a non-binary way. We argue that the public sharing and discussing of stories about personal deliberations offers valuable input for others who face similar choices: it fosters their positive freedom to shape their view of the good life in relation to DNA-diagnostics. We conclude by offering some suggestions as to how to realize such public sharing of personal stories. (shrink)

Building on Peres’ idea of “Delayed-choice for entanglement swapping” we show that even the degree to which quantum systems were entangled can be defined after they have been registered and may even not exist any more. This does not arise as a paradox if the quantum state is viewed as just a representative of information. Moreover such a view gives a natural quantification of the complementarity between the measure of information about the input state for teleportation and (...) the amount of entanglement of the resulting swapped entangled state. (shrink)

In order to extract the regularities underlying a continuous sensory input, the individual elements constituting the stream have to be encoded and their transitional probabilities (TPs) should be learned. This suggests that variance in statistical learning (SL) performance reflects efficiency in encoding representations as well as efficiency in detecting their statistical properties. These processes have been taken to be independent and temporally modular, where first, elements in the stream are encoded into internal representations, and then the co‐occurrences between them (...) are computed and registered. Here, we entertain a novel hypothesis that one unifying construct—the rate of information in the sensory input—explains learning performance. This theoretical approach merges processes related to encoding of events and those related to learning their regularities into a single computational principle. We present data from two large‐scale experiments with over 800 participants tested in support for this hypothesis, showing that rate of information in a visual stream clearly predicts SL performance, and that similar rate of information values leads to similar SL performance. We discuss the implications for SL theory and its relation to regularity learning. (shrink)

In this article, I develop three conceptual innovations within the area of formal metatheory, and present a computer program, called Reconstructor, that implements those developments. The first development consists in a methodology for testing formal reconstructions of scientific theories, which involves checking both whether translations of paradigmatically successful applications into models satisfy the formalisation of the laws, and also whether unsuccessful applications do not. I show how Reconstructor can help carry this out, since it allows the end-user to specify a (...) formal language, input axioms and models formulated in that language, and then ask if the models satisfy the axioms. The second innovation is the introduction of incomplete models (for which the denotation of some terms is missing) into scientific metatheory, in order to represent cases of missing information. I specify the paracomplete semantics built into Reconstructor to deal with sentences where denotation failures occur. The third development consists in a new way of explicating the structuralist notion of a determination method, by equating them with algorithms. This allows determination methods to be loaded into Reconstructor and then executed within a model to find out the value of a previously non-denoting term (i.e. it allows the formal reconstruction to make predictions). This, in turn, can help test the reconstruction in a different way. Finally, I conclude with some suggestions about additional uses the program may have. (shrink)

A behavioral drive directed solely at minimizing prediction error would cause an agent to seek out states of unchanging, and thus easily predictable, sensory inputs (such as a dark room). The default to an evolutionarily encoded prior to avoid such untenable behaviors is unsatisfying. We suggest an alternate information theoretic interpretation to address this dilemma.

Looks into evaluation of information provision probability from different sources, based on use of linguistic variables. Formation of functions appurtenant for its unclear variables provides for adoption of decisions by the decision maker, in conditions of nonprobabilistic equivocation. The development of market relations in Ukraine increases the independence and responsibility of enterprises in justifying and making management decisions that ensure their effective, competitive activities. As a result of the analysis, it is determined that the condition of economic facilities can (...) be described and determined by the decision-maker, in the presence of the necessary information. The confidence of the decision-maker in the information received is different and the decisions made have a correspondingly different level of information risk. It is important to substantiate the procedure for assessing the numerical extent of information risk in decision-making based on the information obtained in conditions of uncertainty. The use of a linguistic variable in the processing of expert data presented in the form of a matrix of binary relations of values of the membership function, which allowed to move to further processing of knowledge to support decision-making in the management of industrial, commercial, financial and other activities. As a mathematical model for estimating the numerical measure of information risk when making decisions based on the information obtained in conditions of non-stochastic uncertainty, a model has been developed to model natural language uncertainties, which differs from existing ones by formalizing knowledge taking into account uncertainty of input information. Making such a clear decision in a fuzzy environment has appropriate values of effectiveness and risk. The paper proposes all the functions and accessories of indicators of both quantitative nature and qualitative nature to bring their values in the field of definition to one scale. Then the indicator of the effectiveness of decision-making will be a measure of the clarity of the cross-section of fuzzy subsets, which correspond to the introduced indicators of information risk. The condition of economic facilities can be described and determined by the decision-maker, if the necessary information is available. Decision-making on thenumerical measure of information risk must be determined by a set of basic indicators, which can be both quantitative and qualitative in nature. Predictive values of indicators should be determined in conditions of nonstochastic uncertainty. In this case, the indicators of a quantitative nature can be determined by fuzzy triangular numbers, which implement a high level of confidence in the subjective judgments of experts. Indicators of qualitative nature should be presented in linguistic variables. The values of the indicators of qualitative nature that are predicted must be considered for all fuzzy variable terms-sets of linguistic variables introduced into consideration. For any fuzzy variable, the introduction to the consideration of a clear set of values as carriers of the α-level of its membership function allows to reduce to a single interpretation of the predicted values of indicators of quantitative and qualitative nature in terms of non-stochastic uncertainty. (shrink)

Cross-cultural differences in argumentation may be explained by the use of different norms of reasoning. However, some norms derive from, presumably universal, mathematical laws. This inconsistency can be resolved, by considering that some norms of argumentation, like Bayes theorem, are mathematical functions. Systematic variation in the inputs may produce culture-dependent inductive biases although the function remains invariant. This hypothesis was tested by fitting a Bayesian model to data on informal argumentation from Turkish and English cultures, which linguistically mark evidence quality (...) differently. The experiment varied evidential marking and informant reliability in argumentative dialogues and revealed cross-cultural differences for both independent variables. The Bayesian model fitted the data from both cultures well but there were differences in the parameters consistent with culture-specific inductive biases. These findings are related to current controversies over the universality of the norms of reasoning and the role of normative theories in the psychology of reasoning. (shrink)

The informal business sector has made enormous contributions to Nigeria's economic growth and development, but this sector is not given the necessary attention to transforming these businesses toward sustainability. This study explores the depth of informal business sector practices in Nigeria. It underscores the inputs of stakeholders in the transformation of businesses in the Nigerian informal sector to increase tax remittances and employment generation for job security in the Nigerian economy. Also, it underpins value chain performances to transform the informal (...) sector and rescue it from liquidation through voluntary company arrangements, administration, merger, takeover, and acquisition schemes. The study adopts a conceptual review. The research relies on extant literature relating to the antecedence of informal business sector activities in Nigeria. It relies on reports from tertiary data sources such as academic articles, books, newspapers, the Internet, and website sources. It further explores the views of researchers, covering the informal sector development and the support of the provisions of the social services in Nigeria. There is the absence of a model for the transformation and sustainability of the informal sector enterprises in Nigeria. This study recommends a model approach to address informal sector enterprises' issues and challenges necessary to transform the businesses into a formal status while supporting their sustainability and resilience. (shrink)

The way information and communication technology (ICT) develops can promote or hinder the democratic potential of this critical societal infrastructure. Concerns about the role standards development organizations (SDOs) play in this context predate the “digital age” but are reemerging amid substantial changes in the institutional landscape of standardization. This article explores the increasingly critical link between the institutional design of SDOs and the democratic design of ICT. We review some principles of democracy in terms of the design of technology, (...) apply these to standardization, and discuss the role public policy may play here, while distinguishing between input and output legitimacy. (shrink)

Background Informed consent is often cited as the “cornerstone” of research ethics. Its intent is that participants enter research voluntarily, with an understanding of what their participation entails. Despite agreement on the necessity to obtain informed consent in research, opinions vary on the threshold of disclosure necessary and the best method to obtain consent. We aimed to investigate Australian researchers’ views on, and their experiences with, obtaining informed consent. Methods Semi-structured interviews were conducted with 23 researchers from NSW institutions, working (...) in various fields of research. Interviews were analysed and coded to identify themes. Results Researchers reported that consent involved information disclosure, understanding and a voluntary decision. They emphasised the variability of consent interactions, which were dependent on potential participants’ abilities and interests, study complexity and context. All researchers reported providing written information to potential participants, yet questioned the readability and utility of this information. The majority reported using signed consent forms to ‘operationalise’ consent and reported little awareness of, and lack of support in implementing more dynamic informed consent procedures, such as verbal informed consent, that was fit for the purposes of their studies. Views on Human Research Ethics Committees varied. Some reported inconsistent, arduous inputs on the information form and consent process. Others expressed reliance on HRECs for guidance, viewing them as institutional safeguards. Conclusions This study highlights the importance of transparent relationships, both between researchers and participants, and between researchers and HRECs. Where the relationship with study participants was reported as more robust, researchers felt that they were better able to ensure participants made better, more informed decisions. Where the relationship with HRECs was reported as more robust, researchers were more likely to view them as institutional safeguards, rather than as bureaucratic hindrances. Conscientious and mindful researchers are paramount to ensuring the procedure accommodates individual requirements. This study advocates that when designing ethical informed consent practices, researchers should be integrated as autonomous players with a positive input on the process, rather than, in the worst case, predatory recruiters to be curtailed by information forms and oversight. (shrink)

This study investigates the joint influences of three factors on the discovery of new word‐like units in a continuous artificial speech stream: the statistical structure of the ongoing input, the initial word‐likeness of parts of the speech flow, and the contextual information provided by the earlier emergence of other word‐like units. Results of an experiment conducted with adult participants show that these sources of information have strong and interactive influences on word discovery. The authors then examine the (...) ability of different models of word segmentation to account for these results. PARSER (Perruchet & Vinter, 1998) is compared to the view that word segmentation relies on the exploitation of transitional probabilities between successive syllables, and with the models based on the Minimum Description Length principle, such as INCDROP. The authors submit arguments suggesting that PARSER has the advantage of accounting for the whole pattern of data without ad‐hoc modifications, while relying exclusively on general‐purpose learning principles. This study strengthens the growing notion that nonspecific cognitive processes, mainly based on associative learning and memory principles, are able to account for a larger part of early language acquisition than previously assumed. (shrink)

The research aims to identify the impact of the management requirements on operating of computerized management information systems to improve performance, and discuss the perceptions of respondents to develop the performance of employees in the Gaza Electricity Distribution Company, the researchers used the stratified sample method, (360) questionnaires were distributed on the study sample, (306) questionnaires were recoved with a percentage of (85%). The most important findings of the study: computerized MI have a positive impact on the development of (...) performance in the Gaza Electricity Distribution Company systems. The is statistical significance impact between “the physical, software supplies, human and organizational” requirements for the management and operation of computerized management information systems and performance development in the Gaza Electricity Distribution Company. -/- The research also concluded a series of recommendations: the need to strengthen the company's management interest in the use of computerized management information systems in all its components and elements of being an important variable which contributes to the effect on performance development. It's essential that we develop the infrastructure for information technology in general, and computerized management information systems, in particular for the development of performance. Increased interest in providing the material of equipment and devices used in the computerized management information system requirements. Interest in providing technical inputs to the computerized management information systems through keeping pace with technological means and modern techniques and work on the training of personnel to use those systems. And increased attention to human inputs of computerized management information systems "specialists technicians and end-users" through a variety of disciplines working in the field of computerized management information systems. (shrink)